The Enterprise Context Layer

Your agents fail on meaning, not on models.

Enterprise agent programs stall because agents don’t understand what a customer is, where the authoritative record lives, or which data they can use.

DataMind is the agentic context layer that empowers governed agents to produce accurate answers based on the data scattered across your organization.

DataMind ontology graph and revenue retention dashboard
2-4 Days
From connection to an agent running in production
Zero
Rows sent to the model on a structured query — schema only
12
Engines queried in their own native dialect, in place
90% ↓
Time to value versus a conventional build
The architecture
How one question becomes a governed answer
Most platforms ship one of these four layers. What breaks agent programs is the space between them — a semantic layer that stops at the warehouse boundary, a vector index with no notion of entities, an orchestration framework with no notion of permission. DataMind is all four, and none of them are tied to a single data platform.
DataMind architecture: how one question becomes a governed answer

One request path. The blue descent is how a question becomes a query. The dashed teal return is what comes back with it — rows, passages, citations and the exact statements that ran. The outer loop is the same stack used to write: create the ticket, update the opportunity, with a human gate and an audit record.

What’s different
Five capabilities you can’t assemble from parts
Everything your agents need is already somewhere in your company — just not in a single place that an agent can reach and understand. The five capabilities below are necessary for agents to run and provide accurate, governed answers.

A semantic layer that generates itself, then gets approved

Hand-built semantic models break the first time someone renames a column. DataMind infers the mapping between your business vocabulary and your data, then puts every proposal in front of your data owners.

  • One definition of a metric, shared across every agent
  • Spans databases, warehouses, APIs
  • Vendor-neutral so it outlives any single system
Where this sits
You may already own part of this
DataMind doesn’t replace your warehouse, your search index or your agent framework. It’s the layer that makes all three usable by an agent that has to be right and has to be governed.
If you already haveWhere it stopsWhat DataMind adds
A warehouse-native semantic layerMeaning comes from that platform’s own metadata, and ends at its storage boundaryBusiness objects inferred across CRM, ITSM, ERP, support and documents — portable off any one platform
Document RAG or vector searchPassages that resemble the question. No entities, no joins, no numbersEntity-resolved retrieval that writes and runs a real query when the answer is a number
An agent frameworkOrchestration. Meaning, permission and audit are left as an exerciseSemantics, query-time authorization and a full audit trail as platform primitives
A BI semantic layerModeled for dashboards and analysts. Read-only by constructionBuilt for agents, including governed write-back into the systems of record
In production

Proven Business Impact

28X

ROI on Revenue Operations

$3.3M in measured savings for a public communications company — paid for itself in under two weeks

$1.2M

Annual Support Savings

A global connectivity provider cut incident resolution times by 80% across ~36K annual tickets

4 Wks

From Pilot to Scale

Compared against a 6–12 month industry average for a conventional enterprise build.

AICPA SOC 2 Type II certificationSensiba ISO/IEC 27001 certification

Governed by Construction

SOC 2 Type II and ISO 27001 certified, end-to-end audit logging, secure regionalized storage

  • NTT
  • NEC
  • Teva
  • Monogoto
The value to you

What changes on your side of the table

Business leader seated at an office desk

One governed agent layer, no migration project

AI programs that clear architecture and security review the first time — and a portfolio of agents governed as one system, not eleven pilots.

Agents run over the systems you already operate. Nothing is copied into a second estate, so there’s no new sprawl to secure and no new residency question to answer. Access is enforced at query time against your identity provider, every executed statement is retained, and the whole platform can sit in your cloud or on your own hardware.